Journal of Informatics and Interactive Technology (JIITE)
Vol. 2 No. 3 (2025): Desember

Perbandingan Metode LSTM dan Random Forest Untuk Prediksi Harga Telur Ayam Ras di Kalimantan Barat

Khinta (Unknown)
Maulana, Devan (Unknown)
Noval Esa (Unknown)
Najwan (Unknown)
Rafli Himawan (Unknown)

Article Info

Publish Date
31 Dec 2025

Abstract

Prediksi harga telur ayam ras di Kalimantan Barat sangat penting untuk membantu peternak, pedagang, dan pemerintah dalam pengambilan keputusan terkait distribusi, stok, dan penetapan harga. Penelitian ini bertujuan membandingkan dua metode machine learning, yaitu Long Short-Term Memory (LSTM) dan Random Forest dalam memprediksi harga telur berdasarkan data historis. Data diambil dari situs Databoks Katadata periode Maret 2024– 2025. Hasil pengujian menunjukkan bahwa Random Forest menghasilkan nilai Mean Squared Error (MSE) yang lebih rendah dibandingkan LSTM, sehingga Random Forest lebih akurat dan efektif digunakan untuk prediksi harga telur ayam ras di Kalimantan Barat.

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Journal Info
Journal of Informatics and Interactive Technology (JIITE)
Website

Abbrev

jiite

Publisher

Dwipantara Scientech Center

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

Description

The Journal of Informatics and Interactive Technology aims to provide a platform for the exchange of knowledge and innovation in the field of computer science, human-computer interaction, data analysis, artificial intelligence, information systems, computer engineering, and emerging technologies. ...